Bioinformatics Officer In Single Cell And Spatial Omics Data Analysis

vor 2 Wochen

Central Coast, Österreich South Australian Health And Medical Research Institute Vollzeit

Bioinformatics Officer in Single Cell and Spatial Omics Data AnalysisThe South Australian Genomics Centre (SAGC) is a multi-institutional, national genomics and bioinformatics facility supported by Bioplatforms Australia (BPA) through the Australian Government's National Collaborative Research Infrastructure Strategy (NCRIS).
The SAGC has consolidated genomics and bioinformatics expertise in the state, with a group of ~10 genomics and bioinformatics staff working side-by-side to deliver innovative genomics and bioinformatics solutions across all areas of genomics research, including agriculture, healthcare, and ecology.An exciting opportunity now exists for an experienced bioinformatician/computational biologist to join the SAGC bioinformatics platform.
To flourish in this role, you will already have a deep understanding of single-cell transcriptomics data analysis and have at least a keen interest, if not existing experience, in the application of spatial transcriptomics and/or other spatial omics approaches to biomedical research questions.As an experienced bioinformatician, you will work with a relatively high degree of independence in the area of single cell and spatial omics data analysis.
Single cell and spatial omics technologies available to us include the Chromium X, Visium, STomics, and NanoString technologies and we are actively collaborating with other researchers and facilities who are developing other spatial omics methods (e.g., spatial lipidomics and metabolomics).You will have a sound understanding of software and workflow development best practices such as source control, test-driven programming, and continuous integration/deployment.
Staff are expected to enable research by leading the development of reproducible, standardised pipelines for single cell and spatial data analysis as well as the development of new methods, pipelines, and data visualisation tools.
Your career development will be supported, and you will be encouraged to publish your research and to collaborate/lead major funding applications to NHMRC, ARC, or MRFF.About the roleKey responsibilities include:Providing end-to-end bioinformatics analysis support to our collaborators working in the single cell or spatial omics fields.Developing and publishing new bioinformatics pipelines, software, and resources that advance capabilities in single cell and spatial omics data analysis.Leading the writing of reports and publications relating to your work.Contributing to or leading the development of competitive funding applications to NHMRC, ARC, MRFF, or other funding agencies.Contributing to the development and organisation of hands-on training workshops.Ensuring successful transfer of knowledge to other members of the SAGC bioinformatics team.About YouThe successful candidate will possess the following key attributes:BSc in bioinformatics, computer science, physics, statistics, or other relevant discipline.Experience in a research, industry, or bioinformatics role.A deep understanding of single-cell transcriptomics data analysis.Prior experience with, or a keen interest in, spatial transcriptomics data analysis - particularly the Visium, STomics, and NanoString technologies.A broad understanding of several of the following areas:Genomics: variant, haplotype, and diversity analysis, genome assembly, metagenomics, epigenetics.DevOps: version control, test-driven development, continuous integration, containerisation using Docker/Singularity.Statistics: linear models, ANOVA, hypothesis testing.Workflow systems: Snakemake and/or Nextflow.Other omics technology: metabolomics, proteomics.Prior experience with at least two of the following scripting languages: bash, R, Python, and Perl.A highly collaborative person, a strong team player, and an excellent communicator.Ability to work in an organised, methodical way and to manage multiple ongoing projects.Attention to detail and a desire to understand a project and the intricacies of the data analysis.Prior experience working in a high-performance computing environment.Prior experience working in a biomedical context.A strong publication track record in high-impact journals, patents, etc.Prior experience developing and delivering hands-on bioinformatics training.Everything we do is underpinned by our core values and our institute is dedicated to growing a culture that pursues, enables, and demands research excellence.
We are proud of the work we do and work hard as a team to make a positive difference to the community.
Our values of excellence, innovation, courage, integrity, and teamwork are what help us achieve our goals.
If these are also your values and goals, apply today.#J-18808-Ljbffr

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